IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...
Ultrafiltration membranes used in pharmaceutical manufacturing and other industrial processes have long relied on separating molecules by size. Now, Cornell researchers have created porous materials ...
Yoshua Bengio talks about his efforts to identify — and address — the risks posed by AI.
1don MSN
Machine-learning model could save costs, improve liver transplants, Stanford-led research shows
A machine learning-based model predicts how long it will take an organ donor to die after removing life support, aiding surgeons in deciding whether organs can be successfully transplanted.
Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...
The integration of AI, specifically machine learning, into physical security architecture shows promise in helping organizations better identify threats, improve response times and aid security ...
Prevailing AI architectures are not moving the needle. We need new ideas. Google Research proposes NL (nested learning). Here ...
We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback